Instructions to use USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-8B-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-8B-gguf with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-8B-gguf:Q4_K_S # Run inference directly in the terminal: llama cli -hf USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-8B-gguf:Q4_K_S
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-8B-gguf:Q4_K_S # Run inference directly in the terminal: llama cli -hf USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-8B-gguf:Q4_K_S
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-8B-gguf:Q4_K_S # Run inference directly in the terminal: ./llama-cli -hf USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-8B-gguf:Q4_K_S
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-8B-gguf:Q4_K_S # Run inference directly in the terminal: ./build/bin/llama-cli -hf USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-8B-gguf:Q4_K_S
Use Docker
docker model run hf.co/USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-8B-gguf:Q4_K_S
- LM Studio
- Jan
- vLLM
How to use USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-8B-gguf with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-8B-gguf" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-8B-gguf", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-8B-gguf:Q4_K_S
- Ollama
How to use USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-8B-gguf with Ollama:
ollama run hf.co/USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-8B-gguf:Q4_K_S
- Unsloth Desktop
- Docker Model Runner
How to use USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-8B-gguf with Docker Model Runner:
docker model run hf.co/USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-8B-gguf:Q4_K_S
- Lemonade
How to use USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-8B-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-8B-gguf:Q4_K_S
Run and chat with the model
lemonade run user.Llama3-KALE-LM-Chem-8B-gguf-Q4_K_S
List all available models
lemonade list
- Atomic Chat
sync e81c954
Browse files- Llama3-KALE-LM-Chem-8B-F16.gguf +1 -1
- Llama3-KALE-LM-Chem-8B-Q2_K.gguf +1 -1
- Llama3-KALE-LM-Chem-8B-Q3_K_S.gguf +1 -1
- Llama3-KALE-LM-Chem-8B-Q4_0.gguf +1 -1
- Llama3-KALE-LM-Chem-8B-Q4_1.gguf +1 -1
- Llama3-KALE-LM-Chem-8B-Q4_K_S.gguf +1 -1
- Llama3-KALE-LM-Chem-8B-Q5_0.gguf +1 -1
- Llama3-KALE-LM-Chem-8B-Q5_1.gguf +1 -1
- Llama3-KALE-LM-Chem-8B-Q5_K_S.gguf +1 -1
- Llama3-KALE-LM-Chem-8B-Q6_K.gguf +1 -1
- Llama3-KALE-LM-Chem-8B-Q8_0.gguf +1 -1
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